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Biotech Data Science Jobs in Berkeley, CA (NOW HIRING)

BIOMARIN PHARMACEUTICAL

Data Scientist 2

Novato, CA · On-site

This role blends advanced technical skills in Data Science-covering statistics, Modelling, AI/ML-with deep domain expertise in highly regulated Biotech industry. These should be complemented by soft ...

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Biotech Data Science information

See Berkeley, CA salary details

$45.9K

$150.3K

$240.6K

How much do biotech data science jobs pay per year?

As of Aug 6, 2026, the average yearly pay for biotech data science in Berkeley, CA is $150,286.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,600.00 and $166,500.00 per year, depending on experience, location, and employer.

What are the most common challenges faced by professionals in biotech data science roles?

One of the primary challenges in Biotech Data Science is working with large, complex, and sometimes incomplete biological datasets, which require advanced analytical approaches and careful data curation. Professionals often need to stay current with rapidly evolving technologies and methods, which can be demanding but also rewarding for those who enjoy continuous learning. Collaboration with scientists, engineers, and regulatory teams is common, so adapting communication styles and translating technical findings to diverse audiences is key. Overcoming these challenges leads to meaningful scientific discoveries and significant career growth opportunities.

What are the key skills and qualifications needed to thrive in biotech data science, and why are they important?

To thrive in Biotech Data Science, you need a solid background in biology or biotechnology, strong statistical and analytical skills, and experience with data analysis languages like Python or R. Familiarity with bioinformatics tools, sequencing platforms, and data visualization software is often expected, with certifications in data science or related fields considered a plus. Excellent problem-solving, communication, and collaboration skills are essential when working across multidisciplinary teams. These competencies enable effective interpretation of complex biological data, driving innovation and insights in the biotech industry.

What is a biotech data science?

A Biotech Data Science job involves analyzing complex biological and pharmaceutical data to drive research, innovation, and decision-making. Professionals in this field use machine learning, statistical modeling, and bioinformatics tools to extract insights from genomics, clinical trials, and drug discovery datasets. They collaborate with scientists, engineers, and healthcare professionals to improve treatments, develop new therapies, and optimize bioprocesses. Strong programming skills, domain knowledge in biology or biotechnology, and expertise in data analysis are essential for success in this role.

What are popular job titles related to Biotech Data Science jobs in Berkeley, CA? For Biotech Data Science jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Biotech Data Science jobs in Berkeley, CA look for? The top searched job categories for Biotech Data Science jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Biotech Data Science jobs? Cities near Berkeley, CA with the most Biotech Data Science job openings:
Biotech Data Science jobs near you
Infographic showing various Biotech Data Science job openings in Berkeley, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $150,286 per year, or $72.3 per hour.

Senior Data Scientist

Genentech

South San Francisco, CA • On-site

Full-time

Re-posted 7 days ago

Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

11th of 86 rated pharmaceutical

Job description

Job Summary:
Genentech is dedicated to delivering innovative data analytics solutions as part of their Pharma vision. As a Senior Data Scientist and Statistician, you will advance data science across Pharma Technical Operations, collaborating with various teams to design experiments, analyze data, and develop tools that enhance drug development.
Responsibilities:
• Provide statistical expertise and develop data science solutions to Pharma technical operations, including process development, analytical method development, commercial manufacturing and quality control for biologics.
• Partner with cross-functional teams to frame critical scientific and operational questions, translating business needs into analytical strategies.
• Design and oversee studies to generate high-quality data for robust statistical analysis.
• Apply advanced statistical methods, machine learning, and AI to interrogate complex datasets, driving actionable insights.
• Interpret results and clearly communicate findings, influencing strategic and operational decisions.
• Develop and maintain software tools, algorithms, and automated workflows for data integration, cleaning, and large-scale analysis across heterogeneous sources.
• Build and sustain strong collaborations with internal and external stakeholders.
• Design and deliver training in statistics and data science to upskill the organisation.
• Stay current with emerging methods, regulatory guidance, and industry trends in statistics, data science, and drug development.
• Mentor junior colleagues, guiding them in study design, statistical analysis, coding best practices, and modern data science approaches, building a collaborative and supportive learning environment.
Qualifications:
Required:
• Master's or Ph.D. in Statistics, Biostatistics, data science, and relevant fields.
• Extensive experience in designing experiments (DOE), analyzing complex datasets, combined with a deep understanding of pharmaceutical technical development, particularly biologics.
• Advanced proficiency in statistical methods and software (e.g., R, JMP), with a proven ability to lead DOE for process characterisation, optimisation, and validation.
• Strong familiarity with regulatory guidelines (FDA, EMA).
• Excellent collaborative skills for working in multidisciplinary teams.
• Outstanding communication skills for reporting and stakeholder liaison.
• Strong analytical and problem-solving skills.
• Ability to manage multiple projects.
• High attention to detail to ensure accuracy and reliability.
• Self-motivated, able to work independently and coaching junior colleagues in teams.
• Keen on staying updated with new developments in statistics and data science.
• Passionate about continuous improvement and learning.
Company:
Genentech is a biotechnology research company that specializes in genetic testing and personalized medicines. Founded in 1976, the company is headquartered in South San Francisco, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Genentech employees say

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Benefits

Hours and flexibility

Workplace

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About Genentech

Sourced by ZipRecruiter

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

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